Calling all coders to help improve the accuracy of breast cancer screening
Hi Friends and Colleagues,
I wanted to share exciting news about an effort I have been helping to launch and that the White House highlighted at Vice President Biden's June 29 Cancer Moonshot Summit.
The Digital Mammography DREAM Challenge is a crowdsourced computational Challenge focused on improving the predictive accuracy of digital mammography for the early detection of breast cancer. The primary benefit of this Challenge will be to establish new quantitative tools based in deep learning that can help decrease the recall rate of screening mammography, with a potential impact on shifting the balance of routine breast cancer screening towards more benefit and less harm.
A total of $1.2M in cash prizes is up for grabs to those teams who can help to crack this problem!
I have attached an infographic flyer that our organizing team hopes will be circulated and posted in many places. If you know friends or colleagues who might want to participate or care about promoting the effort, please share this with them too. Below are some more details about the Challenge.
I hope you are excited as I am to see if the wisdom of the crowd can help improve the accuracy of mammography screening!
More Details About the Digital Mammography DREAM Challenge:
- Challenge website (sign up here to participate): https://www.synapse.org/Digital_Mammography_DREAM_Challenge
- White House FACT Sheet link announcing the launch of this Challenge (in the section called "Coding4Cancer"): White House FACT Sheet
- Cancer Moonshot Blogpost covering our Challenge: Accelerating the Pace of Cancer Research